Ning Jia

5.0k total citations · 2 hit papers
54 papers, 2.9k citations indexed

About

Ning Jia is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pharmacology. According to data from OpenAlex, Ning Jia has authored 54 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 18 papers in Artificial Intelligence and 7 papers in Pharmacology. Recurrent topics in Ning Jia's work include Visual Attention and Saliency Detection (6 papers), Musculoskeletal pain and rehabilitation (6 papers) and Emotion and Mood Recognition (6 papers). Ning Jia is often cited by papers focused on Visual Attention and Saliency Detection (6 papers), Musculoskeletal pain and rehabilitation (6 papers) and Emotion and Mood Recognition (6 papers). Ning Jia collaborates with scholars based in China, United Kingdom and Australia. Ning Jia's co-authors include Han Hu, Yixuan Wei, Zheng Zhang, Yue Cao, Ze Liu, Stephen Lin, Yutong Lin, Li Dong, Baining Guo and Zhuliang Yao and has published in prestigious journals such as Chemical Engineering Journal, Sensors and Pattern Recognition.

In The Last Decade

Ning Jia

50 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Swin Transformer V2: Scaling Up Capacity and Resolution

2022 1.3k citations Han Hu, Ning Jia et al. profile →
Video Swin Transformer

2022 1.1k citations Ning Jia, Han Hu et al. profile →

Peers

Ning Jia

CVPR

AI

BE

MT

RNMI

Feng Zheng China

Fan Zhu China

Xiantong Zhen China

Yanghao Li China

Zifeng Wu China

Xuguang Lan China

Takio Kurita Japan

Chaorui Deng Australia

Borui Jiang China

Tianheng Cheng China

Feng Zheng China

Ning Jia

2.7k ×1.6

CVPR

965 ×1.1

AI

524 ×1.2

BE

217 ×0.8

MT

213 ×1.1

RNMI

Citations per year, relative to Ning Jia Ning Jia (= 1×) peers Feng Zheng

Countries citing papers authored by Ning Jia

Since Specialization

Citations

This map shows the geographic impact of Ning Jia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ning Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Jia more than expected).

Fields of papers citing papers by Ning Jia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ning Jia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ning Jia. The network helps show where Ning Jia may publish in the future.

Co-authorship network of co-authors of Ning Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Ning Jia. A scholar is included among the top collaborators of Ning Jia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ning Jia. Ning Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Zheng, Yu, Yang Pu, Yangyang Guo, et al.. (2025). Data-driven insights to tackle photo-induced phase segregation for mixed-halide perovskite solar cells. Chemical Engineering Journal. 520. 165704–165704. 1 indexed citations

2.

Liu, Chong, Yang Pu, Ning Jia, et al.. (2025). Low-toxicity solvent processing in ambient air for perovskite solar cells via two-step Bayesian machine learning. Journal of Energy Chemistry. 111. 737–743. 1 indexed citations

3.

Zhao, Weidong, et al.. (2024). Low-resource knowledge graph completion based on knowledge distillation driven by large language models. Applied Soft Computing. 169. 112622–112622. 5 indexed citations

4.

Jia, Ning, Wenping Xue, & Jiao Hu. (2024). Multi-zone indoor thermal environment control based on optimized deep reinforcement learning. 6339–6344.

5.

Li, Chao, Ning Jia, Han Hu, & Kun He. (2024). Adaptive Channel Allocation for Robust Differentiable Architecture Search. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 8112–8124.

6.

Jia, Ning, et al.. (2024). Zone-YOLO: Vision-Language Object Detection Using Zone Prompt. IEEE Transactions on Intelligent Transportation Systems. 26(10). 17510–17521. 2 indexed citations

7.

Jia, Ning, et al.. (2024). Federated Learning-Oriented Edge Computing Framework for the IIoT. Sensors. 24(13). 4182–4182. 10 indexed citations

8.

Yang, Feng, Weiwei Guo, Ning Jia, et al.. (2023). The prevalence and risk factors of work related musculoskeletal disorders among electronics manufacturing workers: a cross-sectional analytical study in China. BMC Public Health. 23(1). 10–10. 33 indexed citations

9.

Jia, Ning, Xianhui Liu, & Yougang Sun. (2023). Salient Object Detection Network With Selection Mechanism for Consumer Electronics Imaging Systems. IEEE Transactions on Consumer Electronics. 70(1). 3403–3413. 3 indexed citations

10.

Liu, Fei, Ning Jia, Chuansha Wu, et al.. (2023). The association between adverse ergonomic factors and work-related musculoskeletal symptoms among medical staff in China: a cross-sectional study. Ergonomics. 66(12). 2212–2222. 7 indexed citations

11.

Yang, Yan, et al.. (2022). Prevalence of Musculoskeletal Disorders and Their Associated Risk Factors among Furniture Manufacturing Workers in Guangdong, China: A Cross-Sectional Study. International Journal of Environmental Research and Public Health. 19(21). 14435–14435. 7 indexed citations

12.

Yan, Guorong, Liang Li, Sibo Zhu, et al.. (2021). Single-cell transcriptomic analysis reveals the critical molecular pattern of UV-induced cutaneous squamous cell carcinoma. Cell Death and Disease. 13(1). 23–23. 22 indexed citations

13.

Wang, Chunli, et al.. (2021). Emotion Recognition Model Based on Multimodal Decision Fusion. Journal of Physics Conference Series. 1873(1). 12092–12092. 10 indexed citations

14.

Jia, Ning, et al.. (2019). An adaptive framework for saliency detection. International Journal of Imaging Systems and Technology. 29(3). 382–393.

15.

Wang, Qian, Ning Jia, & Toby P. Breckon. (2018). A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN.. arXiv (Cornell University). 1 indexed citations

16.

Jia, Ning, et al.. (2017). A case report. Medicine. 96(49). e9137–e9137. 2 indexed citations

17.

Jia, Ning. (2009). Semantic orientation identification for Chinese opinion terms. Computer Engineering and Applications Journal. 1 indexed citations

18.

Jia, Ning & Lei An. (2009). Analysis of Congestion Control Strategy for Wireless Network. 1–4. 2 indexed citations

19.

Jia, Ning. (2007). Using concept primitive feature for text classification. Computer Engineering and Applications Journal.

20.

Zhou, Yiqi, Zijian Wang, & Ning Jia. (2007). Formation of multiple trimethylsilyl derivatives in the derivatization of 17α-ethinylestradiol with BSTFA or MSTFA followed by gas chromatography-mass spectrometry determination. Journal of Environmental Sciences. 19(7). 879–884. 42 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact